Live opening · Posted 3 days ago

Manager, Lifecycle Marketing Analytics

PrizePicks · Atlanta, GA preferred, Remote
Greenhouse
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyPrizePicks
LocationAtlanta, GA preferred, Remote
SkillsPython, Tableau
SourceGreenhouse
ListedPosted 3 days ago

About the role

Description supplied by the original job listing.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
We are seeking a strategic and highly analytical Lifecycle Marketing Analytics Manager to lead measurement and performance insights across our targeted and triggered lifecycle, CRM, and promotions efforts. This role will oversee a team of analysts and serve as the strategic thought partner to Lifecycle, CRM, and Promotions leadership on promotional investment, experimentation, new customer conversion, retention, and cross-product adoption. Your insights will directly inform how we invest in our customers and scale our lifecycle programs.
What you’ll do:
Experience:
Lead a team of data analysts, covering lifecycle, promotions, and CRM
Deliver clear, data-driven insights and recommendations to senior leadership
Own measurement of promotional and reinvestment spend, including incrementality, ROI, and offer optimization
Set experimentation standards across lifecycle and CRM, including hypothesis development, test design, power analysis, and holdout strategy
Measure and optimize lifecycle programs across onboarding, first-time deposit (FTD) conversion, retention, and reactivation
Develop targeting, pricing, and measurement strategies for cross-product adoption and cross-sell campaigns
Partner with the CRM team to define audience, eligibility, and trigger logic for campaigns executed in Braze
Build scalable analytics solutions, such as automated test readouts, always-on holdouts, and audience pipelines, to support lifecycle operations at scale
Drive adoption of AI tools across the team, integrating LLMs into analytics and lifecycle workflows to increase throughput and scale
Technical Skills:
Advanced SQL
Tableau (strongly preferred) or similar BI tool
Excel
Python (preferred for statistical analysis, experimentation, or automation)
dbt or similar data transformation tools (preferred)
Soft Skills:
Exceptional communicator, with experience presenting to senior leadership
Ability to influence cross-functional partners (Lifecycle, CRM, Promotions, Finance, Product)
Comfortable balancing hands-on work with team leadership
What you have:
5+ years of experience in lifecycle, CRM, retention, or growth analytics
1+ year of experience managing analysts
Proven experience measuring and optimizing promotional, incentive, or reinvestment spend
Deep experience with experimentation, including A/B testing, holdout design, and power analysis
Experience supporting targeted and triggered lifecycle programs at scale
Experience partnering with CRM teams and platforms (Braze strongly preferred)
Hands-on experience applying AI tools (e.g., LLMs, coding assistants) to analytics workflows, and coaching others to adopt them
Experience with cross-product adoption or cross-sell strategy (preferred)
Experience in daily fantasy, gaming, or another app-based B2C business (preferred)
Where you’ll live:
While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $210,000 to $230,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
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